Generative Adversarial Networks – A Theoretical Walk-Through

Since Ian Goodfellow first proposed the idea of GANs ( https://arxiv.org/abs/1406.2661), it has become a buzz word within ML community, simply because it works stunningly well (given that you came up with a perfect architecture). Many people, specially Yann LeCun, a who is considered as one of the giants in Deep Learning, stated at some point that GANs are a significant breakthrough in deep learning. One thing I have noticed is that many people who claim to be familiar with GANs lack the theoretical foundation that lies beneath it, which is important.Read the article on medium.com >